Python Pocket Reference: Python in Your Pocket (Pocket Reference (O'Reilly))

Python Pocket Reference: Python in Your Pocket (Pocket Reference (O'Reilly))
by Mark Lutz

Python Pocket Reference: Python in Your Pocket (Pocket Reference (O'Reilly))
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Book Summary Information

Author: Mark Lutz
Edition: Paperback
Audio: English (Unknown); English (Original Language); English (Published)
Published: 2009-10-15
ISBN: 0596158084
Number of pages: 210
Publisher: O'Reilly Media

Book Reviews of Python Pocket Reference: Python in Your Pocket (Pocket Reference (O'Reilly))

Book Review: Excellent resource
Summary: 5 Stars

The more I code in Python, the more I love it (my other favorite, Ruby, falls short in many critical areas that Python excels at, such as scientific computing, artificial intelligence prototyping, GPU programming extensions, etc.). The fact that I can use my C libraries for bit-level tweaking and major speedup on resource intensive tasks make Python an even bigger winner compared to many other scripting languages.

This reference book is helpful to jot your memory as you code, and although it's not by any means comprehensive, it does come very handy when you forget what regex format to use, or what binascii methods to call, etc.

The book itself is physically small and very portable.

Summary of Python Pocket Reference: Python in Your Pocket (Pocket Reference (O'Reilly))

This is the book to reach for when you're coding on the fly and need an answer now. It's an easy-to-use reference to the core language, with descriptions of commonly used modules and toolkits, and a guide to recent changes, new features, and upgraded built-ins -- all updated to cover Python 3.X as well as version 2.6. You'll also quickly find exactly what you need with the handy index.

Written by Mark Lutz -- widely recognized as the world's leading Python trainer -- Python Pocket Reference, Fourth Edition, is the perfect companion to O'Reilly's classic Python tutorials, also written by Mark: Learning Python and Programming Python.

  • Built-in object types, including numbers, lists, dictionaries, and more
  • Statements and syntax for creating and processing objects
  • Functions and modules for structuring and reusing code
  • Python's object-oriented programming tools
  • The exception-handling model
  • Built-in functions, exceptions, and attributes
  • Special operator overloading methods
  • Widely used standard library modules and extensions
  • Command-line options and development tools
  • Python idioms and hints

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